Papers by Jinyue Feng
CausalLink: An Interactive Evaluation Framework for Causal Reasoning (2025.findings-acl)
Copied to clipboard
| Challenge: | Existing evaluation frameworks for causal reasoning are unclear . we propose a framework that disentangles reasoning processes from confounding factors . |
| Approach: | They propose a framework that assesses the causal reasoning skill to identify correct interventions in conversational language models. |
| Outcome: | The proposed evaluation framework isolates causal capabilities from confounding effects of world knowledge and semantic cues. |
ACCORD: Closing the Commonsense Measurability Gap (2025.naacl-long)
Copied to clipboard
| Challenge: | ACCORD is a framework and benchmark suite for disentangling the commonsense grounding and reasoning abilities of large language models (LLMs). |
| Approach: | They propose a framework and benchmark suite for disentangling the commonsense grounding and reasoning abilities of large language models (LLMs) they introduce formal elements to explicitly control and quantify reasoning complexity beyond the typical 1 or 2 hops. |
| Outcome: | The proposed framework can scale with future LLM improvements. |
Explainable Clinical Decision Support from Text (2020.emnlp-main)
Copied to clipboard
| Challenge: | Clinical prediction models often use structured variables and provide outcomes that are not readily interpretable by clinicians. |
| Approach: | They propose a hierarchical CNN-transformer model with explicit attention as an interpretable, multi-task clinical language model. |
| Outcome: | The proposed model achieves AUROCs of 0.75 and 0.78 on sepsis and mortality prediction. |